{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b0880af9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c271f96b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_target_period1=pd.read_csv('target_period1.csv')\n",
    "df_target_period2=pd.read_csv('target_period2.csv')\n",
    "df_target_all_period=pd.read_csv('target_all_period.csv')\n",
    "\n",
    "df_total_period1=pd.read_csv('total_period1.csv')\n",
    "df_total_period2=pd.read_csv('total_period2.csv')\n",
    "df_total_all_period=pd.read_csv('total_all_period.csv')\n",
    "\n",
    "\n",
    "df_mention_period1=pd.read_csv('mentioned_period1.csv')\n",
    "df_mention_period2=pd.read_csv('mentioned_period2.csv')\n",
    "df_mention_all_period=pd.read_csv('mentioned_all_period.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1e2b9f9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='number_of_publications', ylabel='dist'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax=plt.subplots(nrows=1, ncols=1)\n",
    "sns.histplot(, x='number_of_publications', y='dist')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "5becec01",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot(df,ax, label):\n",
    "    temp_df=df.dropna().groupby(['number_of_publications'])['dist'].sum().reset_index()\n",
    "    temp_df['number_of_publications']=temp_df['number_of_publications'].astype(int)\n",
    "    ax.scatter(temp_df['number_of_publications'], temp_df['dist'], marker='.', s=1, label=label)\n",
    "    number=temp_df[temp_df['number_of_publications']>35*10]['dist'].sum()\n",
    "    total=temp_df['dist'].sum()\n",
    "    share=np.round(number/total*100,3)\n",
    "    return np.max(temp_df['number_of_publications']),number,share "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "79a2ab74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 0.2)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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3b95s9/eozZo1U0BAQEZKc4o9e/Zo9erVfz1E5uzZs4qJiVFCQoICAwOVJ08elS5dWtWqVVPjxo316KOPKjQ0NKvLVlJSktavX69FixZp165d+v333xUdHa34+HgFBgaqcOHCqlChgho2bKhOnTqpYsWKWV0yAAAAMkFycrLWrVundevW/fWe59KlS7pz545SU1OVK1cuFShQQGXKlFHt2rXVpEkTPfLIIw6/51mzZo3u3r371//et2+f6bH2fkYfGBioRx55xO6aUlNTtXfvXm3btk2HDx/WoUOHdPLkSd28eVO3bt1SbGys/P39FRwcrCJFiqhs2bKqVauWmjRpooiICHl5edk9J4CcxyM1NTU1q4sAkP0kJycrLCxMN2/eTBMrUqSIzp07Z8k83bt3148//mgY27lzp2rVqmXJPBlVrVo1HThwIM24j4+Prl+/bsmNPkOGDNGnn35qGJs3b546derk8BwAkBOwNmWOBx54QPv37zeMXbx4UQULFszkigAg+2JtSr9jx46pevXqaTa/t2jRQitWrPjbWO/evTVt2jTDPGvXrlXTpk2dVSYAuDTWpXsuXbqkokWLKjk5OU2sdevWWrJkSRZUBQDuibXpnuDgYMObEaw8B99++61eeOEFwxjfNQGA406dOqXSpUsbxnr16mV6Y2F2xT4IAACQ00VGRurhhx82jGX0+i01NVUbN27UvHnztHbtWu3du1cpKSl25/Hw8NBDDz2kgQMHqlOnTpY1wrf1M//zVoHr169r9OjR+u6773T9+nWbeUNCQhQdHZ2uGjZv3qw33nhDmzdvTtfxfwoICFD//v31wQcfKDAw8K9xs++Nrb4GP3PmjMaOHauZM2fq8uXLdr02LCxMffr00VtvvaX8+fPbPffw4cOd+iAcvl8HAACuzNbnsp999pnefPNNScZ73319fXXhwoUMP+j23LlzKlGiRJpr/oiICG3atEmS7Wu5kydPqlSpUhma+5+y8nr1n2z9nfzzZ05NTdWMGTP0ySef6NChQ+meo06dOvroo4/06KOP2l2frb2nVrjf32vTpk21bt26NOPDhg3T8OHDLakhLi5OkyZN0ldffaXDhw/b9VpfX1+1a9dO//rXv1SvXj1L6rHnvWhiYqImTJigzz//XH/88Ue653jkkUf0ySef6MEHH3SoVgAAANjPGd+3/NPFixc1ZswYTZs2ze73PHnz5tXTTz+tt956S8WKFcvQ/KVKldLp06cz9Nr7KVmypE6dOpWuY69cuaKff/5Zy5cv1/r16+/7/Y2ZfPny6dlnn9WgQYNsPqjYXmbvgR966CFFRkZaNg8A63hmdQEAsqeoqCjDG3wkqXnz5pbN06JFC9PYqlWrLJsnIy5dumS4iVq69yWAFZuopex9DgAgO2Ftyhy5c+c2jSUlJWViJQCQ/bE2pU9qaqqef/75NM3k/P39NWHChCyqCgByHtale+bMmWPYTE6SevbsmcnVAIB7Y226J1++fIbjGd3wY+TatWt2zw8AcE/sgwAAALBPbGysXnvtNRUvXlyNGzfW2LFjtXv37gw1k5PufXcaGRmpxx9/XPXr1zd96KOz/PTTT6pYsaJGjRpl2WcTKSkpevfdd9WoUSO7m8lJ987x559/rgceeMD0WtUZYmJi9MYbb6hs2bIaO3as3TeqSfc+k/nss89UtmxZTZgwIU3DBAAAADhfr1690owlJCTohx9+yHDO6dOnG17zG83lLK58vXr69Gk9/PDDeuaZZ+xqJidJO3bsUKtWrdSvXz8lJCQ4qULXtGDBApUvX14DBw60u5mcdO+/i59//lkPPvigunbtqkuXLjmhSmN79+5V3bp1NWjQILuayUnSmjVrFBERoffee4/3XAAAADlIUlKSRo0apTJlyuizzz7L0Hue69eva9y4cSpXrpyGDx/uku8hVq5cqZYtW6pw4cJ66aWXNH/+fIe+v7l69ao+++wzVahQQSNHjjS9rwJAzkdDOQCGtm3bZhqLiIiwbB5buWzVkBky6xyEh4fL09P4n+OsPgcAkJ2wNmUOWx82WHUTEQDkFKxN6TNp0iStXbs2zfj777+vsmXLZkFFAJAzsS7d8+uvvxqO+/j4qG3btplcDQC4N9amex544AHD8bi4OJ09e9aSOY4ePWo47uHhYTo/AMA9sQ8CAADAPjdv3tQXX3yhc+fOWZ5727Ztqlevnn788UfLcxt577331K1bN129etWynAkJCXryySf18ccfZ7jJ3p9OnDihRo0aZcr14q5du1S9enWNGTNGiYmJDue7ffu2+vfvryeffFJ37961oEIAAACkV8+ePeXt7Z1mfOrUqRnOOW3atDRj/v7+6tatW4Zz2sOVr1e3bdum8PBwrVu3zqE8kyZNUseOHS35+V1dUlKSBg4cqA4dOlj2/fLs2bNVvXp1bdiwwZJ8tixevFgNGzbU3r17M5wjJSVFI0eO1PPPP29hZQAAAMgqV65c0SOPPKK3335bsbGxDueLj4/XiBEj1KhRI6d8n+NMP//8s1auXGl547e7d+/qvffeU7NmzUwfDA0gZ6OhHABDO3fuNI3Vrl3bsnkqVqyoXLly2V1DZsisc5ArVy5VrFjRMLZv3z4lJSVZNhcAuDLWJueLi4vTsWPHDGO5c+dWSEhIJlcEANkba9P9XbhwQYMHD04zXrVqVb355ptZUBEA5FysS/duXNu4caNh7MEHH1RwcHAmVwQA7o216Z6mTZuaxpYtW+Zw/tTUVC1fvtwwVqNGDYWGhjo8BwAg52AfBAAAQPYSFxenHj16aNasWU6d56OPPtLIkSMtzZmamqrevXvr559/tixndHS02rdvr9OnT1uW858WL16sBg0a6OTJk5bnnjt3rtq0aWPJDXAAAABIn4IFC+rRRx9NMx4VFaWDBw/anW/z5s06cuRImvGOHTtmyl56V75e3b17t1q2bKlLly5Zkm/p0qUaMmSIJblcVWJiop544gmNHz/e8tyXL19Ws2bNtGTJEstz/2nFihXq3LmzYmJiLMk3adIkp5wLAAAAZJ7z58+rYcOG+u233yzPvX37dkVERDjl/ZSrWrdunZo1a6Y7d+5kdSkAMlnaxy8AgKQDBw6YxipVqmTZPJ6enipfvrx2796dJnbixAnFxsYqICDAsvnsYescVK5c2dK5KlasqEOHDqUZj4+P17Fjxyw95wDgqlibnG/16tWmN/BUq1Ytk6sBgOyPten+BgwYoOjo6L+NeXh46Ntvv5WPj0/WFAUAORTr0r2nHJttem3cuLHN1yYkJOjo0aO6evWqYmNj5e/vr9DQUJUsWVJ58uRxRrkAkOOxNt3To0cPDRkyRAkJCWli48aNU58+feTpmfHnwM2aNUvnz583jPXt2zfDeQEAORP7IAAAAKwTEhKi6tWrq0aNGipRooRCQkIUEhIiX19f3bx5Uzdu3NDevXsVFRWl/fv3m+ZJSUlR3759VaVKFdWsWdPyOpcvX66hQ4emGffw8FCtWrXUokULFS1aVAULFpSnp6euXbum/fv3a9myZbpy5Ypp3lGjRumHH36wOXeFChX0xBNPqHXr1ipWrJgKFSqkmJgYXbhwQXv27NHcuXO1dOlSxcfH//WaS5cuqVevXipZsmTGf2gTy5YtU+fOnQ0/p/lf5cqVU7NmzVShQgXly5dPwcHBunLlis6dO6eVK1dq69atSklJMXxtZGSknn76aUsb7QEAAMC23r17a/HixWnGp02bplGjRtmVa+rUqaZzOJsrX69euXJFHTt21M2bN9PEqlevrpYtW6pEiRIqWLCgUlJSdPnyZUVFRWnp0qW6evWqad4vvvhC3bp1U926dS2t11X07dtX8+fPt3mMr6+vWrVqpXr16qlIkSIKCQnRhQsX9Mcff2jRokWGn9P/KSEhQZ07d9aaNWvUoEEDS2s/cuSIHn/88TS/z56enqpXr56aNWumokWLqkCBAoqPj9fly5e1adMmrVixQrdu3TLNO2TIELVv314lSpSwtF4AAAA43+3bt9WiRQsdPXrU5nF58uRRx44dValSJRUtWlReXl46d+6cfv/9d82fP1+XL182fe2ZM2fUrFkzbd++XWFhYVb/CJnG09NTZcuWVY0aNVS1alXlzZtXoaGhyp07t+Li4hQdHa0zZ85ox44d2rJli+F7sT/t2LFDffv21Y8//piJPwGArEZDOQCGTpw4YTheoEAB5c6d29K5zG7ykaSTJ0+qSpUqls6XXmbnQJLKli1r6Vzly5e3WQcbqQGAtSkzTJ8+3TTWtGnTzCsEAFwEa5NtP//8s3755Zc0488//7zlG08AAKxLkrRnzx7TmNFNeBcvXtSUKVO0YMECRUVFmTbYLly4sCIiItS2bVt16tRJoaGhFlUMADkba9M9BQsWVO/evfXtt9+mie3bt09jxozRm2++maHcFy5c0Ntvv20YK1SoUKbc2AIAcC3sgwAAAHBMnTp11LFjR3Xs2NGuhzMePHhQEydO1IQJEww/i46Li1OfPn0UFRXlUON5I/9sOO/h4aHevXtrxIgRKl68uM3XRkZGGo7v3r1b7733nunrQkJC9Mknn+jFF1+Uh4fH32J+fn4KCwtTtWrV1KNHD504cUIvvfSSVqxY8dcx69ats/yz+EOHDqlr166mzTm8vLzUtWtXvfPOO6patappnhEjRujs2bN65513NGPGDKWmpqY5Zt68eRo7dqxee+01mzUNHz5cw4cP/9tYqVKldPr06TTHTpkyhc96AAAATLRr10558+bV9evX/zY+Y8YMffzxx/Ly8kpXnri4OM2ePTvNeJEiRdS8eXNLajWTHa9X7fHcc8/97SFYHh4e6t69uz788EOVKVPG9HUJCQkaM2aMPvjgA8OHSCYnJ+vll1/Wli1b7lvD1KlT0zQE/Of7kT+tXbs2298f8dVXX+n77783jfv6+mro0KEaOHCg6fun0aNHa8eOHRo0aJA2btxoeEx8fLyeeOIJ7d69W/nz57eidEnSk08+qZiYmL/+t4+Pj1544QUNHTpUBQsWNHzNa6+9ptu3b+vDDz/U559/btgYMSYmRoMHD6YZBgAAgAvq06ePDh48aBovWLCgxo4dqy5dusjHx8fwmK+//loLFy7UwIEDdfbsWcNjTp48qe7du2v58uWm7wn+dOrUqb/978jISD388MOGxxq9v7JSnjx59Nhjj6ljx4569NFHFRwcnK7XxcXFae7cuRo1apTpA45++ukndevWTR07drSwYgDZmbXfOAPIEWJiYnTt2jXDWLFixSyfr2jRoqaxkydPWj5fev3zAvBPefPmVWBgoKVzZddzAADZBWuT8x07dszmk8a6dOmSidUAQPbH2mRbdHS0Xn755TTjhQoV0qeffpoFFQFAzsa6dI/ZF6CS/nZj3/Xr19W/f3+VLFlS77zzjrZs2WLaTE6616xn3rx56tOnj4oVK6ZXXnnF5tORAQCsTf80atQo05978ODBhs3m7uePP/5Qq1atTDdFffvttwoKCrI7LwAgZ2MfBAAAgP18fX3/uskpKipKQ4cOtauZnCRVqVJF48aN0/bt21WhQgXDY3bt2qWffvrJipL/5ty5c3/9/6GhoVq/fr3++9//3reZnGT+AMqBAwfafEhLVFSUXnrppfveqCVJZcqU0fLly9M03I+Ojr7va9MrMTFR3bt3161btwzjRYsW1YYNGzRz5kybzTn+VKxYMU2fPl0LFy5UQECA4TFDhw41vf4GAACAtfz8/NStW7c04+fPn9fKlSvTneeXX34xvA7t2bNnupvSZUROuF7du3fvX/9/7ty5tXLlSs2cOdNmMznp3vutt99+W4sWLTKtdevWrX/L7w5Onz6twYMHm8bLlCmjHTt26L333rtvM+46depo/fr1GjlypOkx58+ft7TBoPT334kiRYpo+/bt+vLLL02byf0pODhYo0eP1vTp003/u/vll1/YuwUAAOBi5syZo7lz55rGW7durYMHD6p79+6mzeSke822O3bsqP3796tTp06mx61cuVKTJ092qObMUrlyZU2ePFkXL17UjBkz1KVLl3Q3k5Mkf39/Pf3009q5c6feffdd0+Peeecdw6bNAHImGsoBSOPChQumsUKFClk+X+HChU1jFy9etHy+9EhMTDS90cldzgEAZCesTc43ePBgJScnG8bq1aunWrVqZXJFAJC9sTbZ9uabbxrW9cUXX1j+JHkAAOvSn44ePWoaK126tCRp9erVqlSpkiZMmGD6VGdb7ty5oy+//FLly5fXzJkzM1wrAOR0rE1/Fxoaqnnz5ikkJCRNLDU1VS+88IIef/xx7dmz5765YmJiNG7cOFWvXt30xokRI0aoXbt2DtcNAMhZ2AcBAABgvzx58ujUqVOaPHmyKleu7HC+mjVrau3atSpXrpxhfMyYMQ7PYSZPnjxas2aNGjVq5FCeFStWaMOGDYaxkJAQrVq1yvTns+Wzzz5Tv379HKrNVm6zz10qV66snTt3qn79+nbnbdOmjZYtW2Z4c9vdu3c1bNgwu3MCAAAgY3r37m04PnXq1HTnMDvWLLdVctL1akhIiNavX69mzZrZ9bpHHnlEn332mWl8ypQpjpbmUv71r3/p7t27hrFChQpp5cqVdjU69/T01Lvvvmvz73zmzJnavHmz3bXeT4kSJbR582bVqFHDrtf16NHDtMldQkIC+7YAAABcSEJCgt544w3T+EMPPaR58+Ypb9686c4ZEhKiH3/8US1atDA95u2331ZMTIxdtWa2IUOG6MCBA+rTp498fX0dyuXj46ORI0dq1KhRhvFDhw5p6dKlDs0BwHXQUA5AGtevXzeNhYWFWT6frYs7W7U4E+cAALIX/l12rp9//lm//PKLaXzo0KGZWA0AuAbWJnNr1641fIpL69at1bVr1yyoCAByPtale8yaF4WFhSkwMFDTp09Xy5YtdeXKFYfnio6O1tNPP61BgwYpNTXV4XwAkNOwNqVVr149LV++XEWKFDGMz5s3TzVr1lTt2rU1cOBATZgwQT/99JPmz5+vqVOn6qOPPlL79u1VpEgRDRo0SDdv3kyTw8vLS5988onef/99Z/84AAAXxPoMAABgPz8/P5uNcjOiSJEimjp1qjw8PNLEoqKidOjQIUvn+9MXX3xhyQMlx44daxr76KOPVKVKlQzn/uKLL1SiRIkMv97IjRs3NHr0aMNY3rx5tXDhQhUoUCDD+Zs0aaKRI0caxmbNmqXTp09nODcAAADSr169eobXor/++quio6Pv+/pz585p1apVacbDw8NVqVIlK0o0lNOuVydOnGh347A/vfTSS6bvJxYsWOBIWS7lyJEjmjNnjmHM09NT8+fPV5kyZTKUe/jw4erSpYtp3Ox3JaO8vLw0c+bMDL/PGzZsmPLly2cYc6ffCQAAAFc3ffp0nTlzxjBWuHBh/frrr/L397c7r6+vr+bNm6dSpUoZxq9du6YJEybYnTczlSxZ0vD7IkcMHjxYLVu2NIxNnz7d0rkAZF80lAOQhq2Nu8HBwZbPZyun2dOxnY1zAADZC/8uO8/58+f10ksvmcabNWum9u3bZ2JFAOAaWJuMxcbGGj41PjAwUF9//XUWVAQA7oF16R6zhnL58+fXvHnz9OyzzyolJcXSOceNG6cXX3zR0pwAkBOwNhkLDw/X3r179dRTT8nT0/ir+l27dmn8+PHq37+/unXrpk6dOunZZ5/V0KFDtXDhQt2+fdvwddWrV9e6dev09ttvO/NHAAC4MNZnAACA7KNhw4am+3GWLl1q+XzNmjXTM88843CeS5cuaeXKlYaxGjVq2NyDlB6BgYH6/PPPHcrxT19//bVhY37pXnO8smXLOjzHm2++qWrVqqUZT0pK0rRp0xzODwAAgPTp1atXmrG4uDj99NNP933t9OnTDfeUGOW0Uk66Xm3fvr26deuW4dd7enqqd+/ehrETJ06kqzFgTvDNN9+Y7m/q06ePwsPDHco/duxY5cqVyzC2dOlSnTp1yqH8/2vAgAFq1KhRhl8fFBSkJ5980jC2a9euDOcFAABA5rJ1P9lnn32mkJCQDOcOCgrSmDFjTOMTJ050y4fHjxo1ynB8xYoVSk5OzuRqAGQFGsoBSOPu3bumsaCgIMvns5XTVi3OxDkAgOyFf5edIykpSV27dtWVK1cM4wEBAfrqq68yuSoAcA2sTcaGDRum48ePpxkfPny46RNfAACOY126x2zj6J07d9S7d2/DzZZ58uRRv379tHDhQh07dkwxMTG6ffu2jh07poULF6pfv34KDQ21Oe+3335r+Q1uAODqWJvMhYWFaebMmdq3b5+ef/55FShQIMO5/P391bZtW82bN0+7d+9Ww4YNLawUAJDTsD4DAABkL507dzYcX79+veVzvfHGG5bk+fXXX01vNOrfv79pA317dO7cWUWKFHE4jySlpqZq8uTJhrFq1arp6aeftmQeT09Pvfrqq4ax9DQvAQAAgDV69uwpLy+vNOPpaZpmdIyfn59DDdLuJ6ddr7755psO5zB7nyS5RwOxlJQU/fDDD4YxX19fffzxxw7PUaxYMb322muGsdTUVM2YMcPhOSTJy8vLdB57mP1O3LhxQydPnnQ4PwAAAJzr0KFDptfytWrVUo8ePRyeo1OnTqaNjE+cOKGNGzc6PIerqVmzpsqUKZNmPDo6Wvv27cuCigBkNhrKAUgjISHBNObt7W35fD4+PqaxxMREy+dLD84BAGQv/LvsHAMHDtSGDRtM459++qkqVqyYiRUBgOtgbUpr586dhk91qVGjhiWbQgAA5liX7p0Ds6eHnTlzRrdv304z/uKLL+ro0aP69ttv1bZtW5UtW1a5cuVSUFCQypYtq7Zt2+rbb7/V0aNH9cILL9ic/5133tHevXst+VkAICdgbbq/ihUrqlu3burWrZv8/f0zlKNGjRpq3ry56tSpIw8PD4srBADkNKzPAAAA2UtERIThuNWfNRctWlQtW7a0JNeaNWsMx/38/PTEE09YMoenp6eeeuopS3Jt377dtMHAwIEDLWmA96ennnpKvr6+acYPHjyoc+fOWTYPAAAAzBUuXNjw2nfz5s36/fffTV+3efNmHTlyJM14hw4dlCdPHktr/F856Xq1cuXKaty4scN5ypQpo+DgYMPYoUOHHM6f3e3cuVMXL140jLVp00b58+e3ZJ5nn33WNLZ06VJL5mjZsqUlD6KuWbOmacwdficAAABc3eLFi01jvXv3tmyePn36mMasusZ1NfXr1zcc554HwD3QUA5AGrY27mb2JmJbG5qdiXMAANkL/y5b7z//+Y8mTpxoGm/fvr0GDhyYiRUBgGthbfq7pKQk9e3bN83T6D09PfXNN9845ZwAAP4f65IUHx+f7mM9PT01YcIETZgwQWFhYfc9Pl++fJo4caLGjx9v2qwnISHB9GnOAOCOWJvMJSYmatKkSapUqZIeeeQRjRs3TnFxcRnKtXXrVr366qsqU6aMevTooYMHD1pcLQAgJ2F9BgAAyF4KFixoOH7q1ClLr5datWolLy8vS3Jt3brVcLxBgwaWNtpo27atJXnMbhLz9PRUhw4dLJnjTwEBAapdu7ZhbNOmTZbOBQAAAHNmDQmmTZtm+pqpU6falcsqOel69aGHHnI4hyR5eHioSpUqhrEbN25YMkd2tnbtWtPY008/bdk8ZcqUUaNGjQxj27Zt0507dxyew6rfibCwMNP3z+7wOwEAAODqzK5xvb291a1bN8vm6dKliwICAuyqIaczu4621XAdQM7B3bwA0jC7KVKSUlNTLZ8vJSUlQ7U4E+cAALIX/l221i+//KLXX3/dNF6mTBlNmzYtR/ysAOAsrE1/9+9//1u7d+9OM/7SSy8pPDw88wsCADfDumSfjz76SC+++KLdrxswYIBu3Lih9957zzC+du1arVu3zrINkQDgylibjB05ckQ9evTQjh07LM2bnJysWbNmac6cOfrggw80ePBgeXrybDkAwN+xPgMAADhPSkqKLly4oCtXrujmzZuKj49XYmJihq6zUlNTdenSJRUvXtyS2urUqWNJnpiYGJ0+fdowVrNmTUvm+FONGjUsybNhwwbD8dq1a5veSOWIBx98UFu2bEkzvmfPHj3xxBOWzwcAAIC0OnTooDx58qRpNPX999/rww8/TPMdWlxcnGbPnp0mT+HChdWyZUun1pqTrlcbNGjg0Ov/V968eQ3Hb926Zdkc2dWuXbtMY4888oilczVv3tzwdzApKUn79u1T/fr1Hcpv9e/EpUuX0oy7w+8EAACAqzO7xq1WrZoKFChg2TzBwcEKDw9XZGRkmtiePXuUkpLi0nsqb9++rQsXLujatWu6e/eu4uPjbe7LkaSLFy8ajl+4cMEZJQLIZmgoByANX19f01hSUpLl89nKaasWZ+IcAED2wr/L1omMjNRTTz1l+mFB/vz5tXTpUoWGhmZuYQDgYlib/t/Ro0c1YsSINONFihTRxx9/nAUVAYD7YV1K/7wRERF66623MjzPkCFDtHDhQm3bts0w/vXXX9NQDgDE2mRk7dq1atu2re7evWt6zAMPPKBOnTqpcePGKleunPLmzauAgABdv35dly9f1rZt27R27Vr9/PPPiouLS/P6xMREDRkyRFu3btXs2bPl4+PjzB8JAOBiWJ8BAACsc/HiRS1evFi//fabtm/fruPHjys+Pt6y/FevXrWsoVytWrUsyXPq1CnTBnlWN5QLDQ1VqVKldOrUKYfymN2oVqVKFYfymjG7+e3EiRNOmQ8AAABp+fn5qWvXrpo4ceLfxs+cOaM1a9aoefPmfxv/5ZdfFB0dnSbP008/LS8vL2eWmqOuV616/yLdawRh5ObNm5bNkV0dOHDAcLxUqVKW399h673i/v37HW4ox+8EAAAAbty4Ydq8zOrvFaR717hGDeXu3r2rEydOqFy5cpbP6QzJycnavHmzli1bpi1btmjfvn26fPmyZfmvXr1qWS4A2ZfrttAE4DS2Nu4mJCRYPp+tnNnxBlR3OQcAkJ3w77I1tm/frvbt2xvebCpJISEhWr58uSpUqJDJlQGA62Ftuic1NVX9+vUzXFu+/PJL5c6dOwuqAgD3w7qU/nk//PBDhzb8enl56cMPPzSNL1q0yPQ9FwC4E9amv9u4caPNZnLly5fX0qVLtXfvXo0YMULNmzdXqVKllDt3bvn4+KhgwYJ64IEH1LdvX82YMUOnT5/WoEGD5OHhYZhv/vz56tatm+lN3gAA98T6DAAA4LjVq1erTZs2Klq0qJ577jlNmzZNBw8etLSZnCRLP2cuVKiQJXnMbvqSpKJFi1oyh5U5b9y4oWvXrhnGnLU3Km/evIbj586dc8p8AAAAMNa7d2/D8WnTpqUZmzp1ql05rJLTrlfz5MnjcI4/BQQEGI5b/b4rO/rjjz8Mx53RbMNWzjNnzjicn98JAAAAmF3fSq55jetsN27c0PDhw1WiRAk1btxYH330kVavXm1pMznJ2u+gAGRfNJQDkEZQUJBpLCYmxvL5bt++bRoze4KEs3EOACB74d9lx+3fv1+tWrUy/dly5cqlJUuWWPZUYgDI6Vib7vnuu++0bt26NOPt2rVT586ds6AiAHBPrEuSh4eHcuXKZfOYihUrqlmzZg7P1aJFC9PNu3fv3tWGDRscngMAXB1r0/+7deuWnnrqKdNmcu3bt9eOHTvUqlWrdOcsUKCAvvjiCy1atEiBgYGGx8ybN0/jxo3LUM0AgJyJ9RkAACDjzp49q9atW6t58+ZasmSJUlJSnDqflQ1/rXoI2M2bN50+h5U5z549axobOnSoPDw8LP/Tv39/w/lu3Ljh0M8CAAAA+4SHh6tSpUppxufNm/e3zy3PnTunVatWpTmuXr16qlKlilNrzGnXq5nx8OGc/jCtuLg4RUdHG8asahT+v4oUKWIas9VQPL34nQAAAMDFixdNY864xi1cuLBpzIprXGeaPHmyypQpoxEjRuj8+fNOncsZD50EkP3QUA5AGmZPHJHu3fRiNVubiG3V4kycAwDIXvh32TG///67WrRooevXrxvG/f399euvv6pBgwaZXBkAuC7WJun8+fMaPHhwmvGgoCCNHz8+CyoCAPfFunRPvnz5bMbbtm1ryTweHh5q06aNaXz79u2WzAMAroy16f8NGTLE9EmbDRo00OzZszPcVOexxx7TzJkz5elp/LX/kCFDXOLJmgCAzMH6DAAAkDGbNm1SzZo1tWzZskyb08qb4q26iT8uLs7pc1iZ89q1axZV4jhb5w4AAADO0atXrzRjd+/e1Zw5c/7639OnTzdsFm30WqvltOtVDw8PCypxb7Y+U3fGey5vb28FBATYXUt68TsBAAAAW3tRnHGNGxISYhqz4hrXGRITE9WrVy8999xzpg2mrUZjZsA90FAOQBphYWGmsStXrlg+3+XLlzNUizPlyZPH9OYbdzkHAJCdsDZl3MmTJ9WsWTPTbv4+Pj6aO3eumjVrlsmVAYBrY22SBgwYYPgU+g8++EAlSpTIgooAwH2xLqVv7vr161s2l61cBw4csGweAHBVrE33XL16Vf/9738NY76+vvrhhx/k5+fn0BwdO3bUc889ZxiLjY3VuHHjHMoPAMg52AcBAABgv127dqlVq1bZqtmDvby9vZ0+hzMaBTiaMzY21qJKHJeYmJjVJQAAALidZ555Rl5eXmnGp06d+tf/P23atDRxPz8/de/e3ZmlSeJ6FWnFx8ebxpzRbEMyb7hBU2wAAABYIbOvcW01lMuu17jPPvuspk+fntVlAMiBaCgHII0iRYqYbiK+cOGC5fOZNbiRpGLFilk+X3p4enqqcOHChjF3OQcAkJ2wNmXMmTNn9Mgjj+js2bOGcS8vL/3www9q06ZNJlcGAK7P3demX3/9VfPnz08zXrt2bb3yyiuZXg8AuDt3X5f+VLx4cZvxBx54wLK5bOU6c+aMZfMAgKtibbpn2rRpphuRnnvuOcuacb/33nvy9fU1jE2aNEnJycmWzAMAcG3sgwAAALDPnTt39MQTT+j27ds2j6tYsaL69eun8ePHa9myZdqzZ4/OnTunW7duKSEhQSkpKUpNTTX840psNcW/deuW5fMZPdzMHklJSRZV4jhX+7sGAADICYoUKaLmzZunGd+wYYNOnDihzZs368iRI2ni7dq1U968eZ1eH9er+Cdbfw/OaOJ9vzkBAAAAR2X2Na6rXd9OnDhRM2fOtHlMYGCgWrVqpffff1+zZs3Spk2bdPz4cV29elVxcXFKSkoy/Q5q2LBhmfSTAMiOnP/IMQAux9fXV0WKFDFsPvPHH39YPt/p06dNY6VLl7Z8vvQqXbq0zp07l2b8zp07un79uqVfEGTXcwAA2QVrk/0uXLigZs2a6dSpU4ZxT09PTZs2TY8//njmFgYAOYS7r027du0yHO/QoYOWLl3qUG6zRqiStHnzZsXExBjGqlat6jLrNABYzd3XpT+VKVPGZjxPnjyWzWXrs8EbN25YNg8AuCrWpnvWrFljGuvatatl8xQrVkwNGjRQZGRkmlh0dLR27typevXqWTYfAMB1sQ8CAAAg/f7973/r+PHjpvFnnnlGgwcPVtWqVTOU39UawIeEhJjGnNFQztGc/v7+FlUCAAAAV9W7d28tX778b2OpqamaPn266UM2evfunQmVcb2KtGz9TjjacNuM2fsufj8BAABghcy+xrX1vUJ2u8a9efOm3nnnHdN4iRIlNGLECD355JMKDAzM0Byu9j0UAGvRUA6AoXLlyhne5HP79m1dunRJBQsWtGyuY8eOGY77+PioePHils1jr3LlymnDhg2GsaNHjyo8PNyyuczOgSSVLVvWsnkAwJWxNqXf5cuX1axZMx09etQw7uHhoW+//VY9evTI5MoAIGdhbUrL2U8vsfVh+dixY/Xqq686dX4AyM5Yl6Ty5cvbjIeGhlo2l63mdLGxsZbNAwCujLXpXlNsI4GBgYqIiLB0rmbNmhk2lJOkLVu20FAOACCJfRAAAADplZCQoC+//NIw5uPjo+nTp6tbt24OzeFqDycpXLiwacyoabGjzp8/79Drg4KCTGMff/yxHnjgAYfy2yOjN3sBAADAMR07dlRISEiaRgVTp041bF5QsGBBPfroo5lSG9er+Kfg4GDTmDOaeCclJZnucbJVCwAAAJBeuXPnNo054xrXVpO67HaNO2nSJNPviZo2baq5c+cqLCzMoTlc7XsoANaioRwAQ9WrVze96WT//v2W3eQTGxtr+gTHqlWryts76/6Zql69umls//79lm6k3rdvn+F4njx5VKJECcvmAQBXxtqUPteuXVPz5s116NAh02PGjx+vvn37ZmJVAJAzsTYBALIT1iWpZs2aNuNJSUny9fW1ZK7ExETTmKenpyVzAICrc/e1KT4+3nRDTpEiReTj42PpfKVKlTKNXbhwwdK5AACui30QAAAA6bNy5Updu3bNMDZixAiHm8lJ0vXr1x3OkZlsffawe/du9ezZ07K5bt68qZMnTzqUo0iRIqaxokWLqm3btg7lBwAAQPbn7++vrl276ttvv/3b+OnTpw2Pf/rppzPtu0WuV/FP/v7+Cg0NVXR0dJrYxYsXLZ/P1nfIthqKAwAAAOlVqFAh05gzrnFt5cxu17g//vij4XjhwoUtaSYnud73UACsxV1NAAzVrl3bNLZjxw7L5tmzZ4+SkpLsriEzZNY5uHTpkumTFGvVqmXZPADg6lib7i86OlotWrQwvUFHkj7//HP1798/E6sCgJyLtQkAkJ2wLt1rKOfl5WUaN9pwmVG2ntiVK1cuy+YBAFfm7muTrc04+fLls3y+/Pnzm8bMboAHALgf9kEAAACkj1mT/LCwML355puWzHHmzBlL8mSW4OBglSxZ0jC2a9cuS+favXu3wzmKFi1q2tDf7OEEAAAAyHl69+7tlGMdxfUqjJg9jMWK90j/ZOt9HA+FAQAAgBVsXVe68zXurVu3tHPnTsPYW2+9ZUkzOcn1vocCYC0aygEw1KBBA9PY+vXrLZvHVi5bNWSGunXrytfX1zBm5TlYt26daSyrzwEAZCesTbbdunVLjz76qM0PPT7++GO9/vrrmVgVAORsrE0AgOyEdUkKCAhQnTp1TOOXLl2ybK7Lly+bxrLbE8wAIKu4+9qUmppqGktMTLR8voSEBMtzAgByHvZBAAAApM+BAwcMx9u3b2/a9MFemzdvtiRPZgoPDzcc37Rpk6UPdVm8eLHDOby9vVWtWjXDWFRUlMP5AQAA4BoiIiJUoUKF+x5Xp04d0+tHZ+B6FUaqVq1qOH7q1CndvHnT0rlsNfDIzP8WAAAAkHPlyZPHdF+9MxrKmeUMDAxU6dKlLZ8vow4fPqyUlBTD2OOPP27JHImJiZY+WBKA66GhHABD5cuXN32S4Lp16xQfH2/JPCtWrDCNtWjRwpI5MipXrlyKiIgwjB04cEDnzp2zZB5b56Bly5aWzAEAOQFrk7k7d+7oscce07Zt20yPef/99zVkyJBMrAoAcj7WJgBAdsK6dM+jjz5qGrNyw+327dtNY9npC2cAyEruvjYFBwebxq5cuWL5fLZyBgUFWT4fAMA1sQ8CAAAgfcyui8qXL2/ZHBs3brQsV2Z55JFHDMfj4+M1e/ZsS+ZISUnRrFmzLMlldu27evVqxcTEWDKH1Tw8PAzHbT28AAAAALb16tXLkmOs5orXqzlFdr2+rl27tmlszZo1ls61atUqw3FbzQ4BAAAAe5ld4+7fv9/SfZQxMTHaunWrYaxGjRry9ExfayWzz+gl695HmH0H5efnpxIlSlgyx86dOxUbG2tJLgCuiYZyAEy1bt3acDwmJkZLly51OP/ly5cVGRlpGKtataplFzyOMDsHkjRnzhyH8ycmJmr+/PmGsdDQUNWvX9/hOQAgJ2FtSis2NlZt27a1ucn0X//6l0aMGJGJVQGA+3DXtWn48OFKTU11yh9bG7PWrl1r+rpXX301804AAGRT7rou/a82bdqYxjZv3mzZPLZy2drcCQDuxp3XpuDgYOXOndswdu7cOcufIL9//37TWPHixS2dCwDg2tgHAQAAcH937twxHM+XL58l+S9cuKDVq1dbkiszdejQQV5eXoaxCRMmKCUlxeE55s2bZ1mjY7PvDOLj47Vo0SJL5rCaj4+P4XhcXFwmVwIAAJBzPPPMMzabB/j6+uqpp57KxIruccXrVVfjatfXDz/8sGlsxowZls1z6tQpbdiwwTAWHh6uXLlyWTYXAAAA3JvZNW5SUpJ+/PFHy+b5+eefdffuXcOY2cNyjJi9h5Csex9h9h1UWFiYJfkl6fvvv7csFwDXREM5AKa6d+9uGps0aZLD+adNm6bk5GTDWFZ8EG+kW7dupp2EJ0+e7HD++fPn69q1a4axJ554wuZFJwC4I9amv4uPj1fHjh1Nb5qVpFdffVWffvpp5hUFAG6GtQkAkJ2wLt3b1FihQgXD2C+//GL6RbE97ty5Y9ocQZKaNGni8BwAkFO4+9pktiYlJydbftP48uXLTWMVK1a0dC4AgGtjHwQAAMD9md08b1WD+K+//lqJiYmW5MpMhQoVUvPmzQ1ju3fv1sSJEx3Kf/fuXb3xxhsO5fhfzZo1U548eQxjI0eONP1cKSuZ/e7FxMRkciUAAAA5R7FixdSsWTPTeNu2bS29cT+9XPF61dW42vV1rVq1VLhwYcPY4sWLdfXqVUvmmTJlilJTUw1jjz32mCVzAAAAAJLth8VPmzbNsnmmTJliGrPnGtdWc2Wr3kc4+zuomzdvWnpuAbgmGsoBMNW4cWOVKVPGMLZkyRLt27cvw7nj4uI0btw4w5iXl5eefvrpDOe2UsmSJfXQQw8Zxvbv3+/QE19SU1M1evRo03ivXr0ynBsAcirWpv+XmJioJ554QitWrDA95qWXXtLYsWMzsSoAcD+sTQCA7IR16Z5nn33WcDw6OtqSp/VOnz7d9AvbqlWrqly5cg7PAQA5hbuvTREREaYxR2+w/l/r16/XwYMHDWMeHh4KDw+3bC4AgOtjHwQAAMD95cuXz3D8wIEDDuc+c+aMvvzyS4fzZJXXX3/dNPbOO++YfkaRHq+++qr++OOPDL/+n/z8/NS3b1/D2IEDByxpqGy1/PnzG46fOnUqcwsBAADIYaZPn65du3YZ/rHyezt7uOL1qqtxtetrT09P04e2xcfHa+jQoQ7Pcf78eY0ZM8Yw5uHhoR49ejg8BwAAAPCnSpUqqXbt2oaxHTt26Mcff3R4jl9//VXr1q0zjJUtW1YNGjRIdy6z9xCSde8jzL6DunPnjk6fPu1w/g8++CDbNtEGkHloKAfAlIeHh1577TXDWGpqqmksPUaPHq2zZ88axrp06aISJUrYnXP48OHy8PAw/NO7d+8M12rraYdvvfWWEhISMpT3+++/V1RUlGEsPDxcDRs2zFBeAMjJWJvuSU5O1lNPPaWFCxeaHtO3b1999dVXGZ4DAJA+rE0AgOyEdemeF198Ublz5zaMvffee7py5UqGc1+6dEnvv/++adxsoy8AuCt3X5tsPV1z5cqVWrVqld05/yk5OVlvv/22abxBgwbKmzevw/MAALIG+yAAAACyRvHixQ3HFy9erLi4uAznTU1NVe/evU0fWuIKWrZsaXpdd/PmTTVv3lzHjx+3O+9bb72l7777ztHy0hg0aJACAgIMY6+99pq2bdtm+ZyOKFWqlOH47t27M7UOAACAnKZQoUKqWbOm4R9bDQOczdWuV12NK15fv/DCC/L0NL7t+7vvvjP9DD69Xn/9ddPmEo899phKlizpUH4AAADgn/r3728ae+utt3T79u0M5757967NfagvvviiXfkKFSokf39/w5hV7yPMvoOSpLlz5zqUe+3atRo7dqxDOQDkDDSUA2BTnz59VKhQIcPY6tWr9fnnn9udc8uWLRo5cqRhzNPTU0OGDLE7pzO1adNGNWrUMIwdPnzY5kZrM8ePH9crr7xiGn/33XftzgkA7sLd16aUlBQ9++yzNj8Y6Nmzp7799lt5eHhkYmUA4L7cfW0CAGQvrEtSaGioBg0aZBi7fPmy+vTpo6SkJLvzJiYmqnfv3rp69aphPG/evOrTp4/deQEgp3PntalZs2YqWrSoafypp57SiRMnHJpj0KBB2rx5s2n8mWeecSg/ACBnYh8EAACAbQ8//LDh+JUrV/TZZ59lKGdKSopeeuklrVmzxpHSsoUvv/xS3t7ehrELFy6obt26+uabb5SamnrfXCdPnlSrVq3073//+2/joaGhVpSqYsWKmV7f3r17V+3atXNaM4nt27dr69atdr2mevXqhuNbtmzR6dOnrSgLAAAA2YirXa+6GrPr66VLlzrUtMKZKlSooCeffNIwlpKSoo4dO2b4vcHIkSP1008/mcaHDh2aobwAAACALc8884zpA4LPnj2rjh07Kj4+3u68iYmJ6tKli06ePGkYz5cvn90N5Tw9PVW1alXDmK1raXuUKlXKtPn1qFGjdP369Qzl3bVrl7p27Zqu72YA5Hw0lANgU2BgoEaNGmUaHzx4sKZMmZLufDt27FCbNm2UmJhoGH/uuedMNy1nFQ8PD40bN840Pn78eH3wwQfpznfy5Em1aNHC9AmTLVu2VLt27eyuEwDchbuvTf3799f3339vGu/ataumTJli+lQqAID13H1tAgBkL6xL97z99tumX7QuWrRIjz/+uOLi4tKdLzY2Vp06ddKyZctMjxk2bJhCQkLsLRUAcjx3Xpu8vb1tNuS5cuWKmjZtqi1bttidOzY2Vv369dNXX31lekzhwoVpKAcAMMQ+CAAAANtatGhh+iDHESNG2HwQpJHbt2/rqaee0jfffGNFeVmuVq1aNq8Xo6Oj9eKLL6py5cp6//33tWnTJp05c0bx8fG6fv26Dh48qFmzZqlz586qUqWKli9f/rfXN2nSRO3bt7es3qFDh5o2krh8+bLq16+vcePGWXKTVXx8vH766Sc1aNBADz74oLZv327X65s0aWI4npKSoqefflqXL192uEYAAABkL650vepqzK6vb9y4od69eysmJiaTK0qfUaNGKVeuXIaxc+fOqUWLFjp06FC686WkpOjTTz/Ve++9Z3rM008/rfr169tdKwAAAHA/Pj4+Nh88vGbNGj3xxBO6ceNGunPeunVL3bt319KlS02P+fTTTxUUFGRXrZL5+4jVq1fr008/teS92aOPPmo4fuXKFbVv397u9yorV67Uww8/rCtXrjhcG4CcwfjRYADwP3r27KkZM2Zo5cqVaWIpKSnq06ePNm7cqI8//lgFChQwzBEfH68vv/xS7733numNmkWLFtUnn3xiae1WadKkiZ577jlNmjTJMD5s2DDt2LFDX3zxhUqXLm14TEpKiqZNm6Y33njD9II2ODjY5o0/AIB73HVteu+992xuLC1VqpS6detm80MQR9SsWVPFihVzSm4AcHXuujYBALIn1qV7zYu+++47Pfroo0pJSUkTX7BggapVq6bPP/9c7du3N70xMDU1VQsWLNDrr7+uEydOmM7XpEkTvfzyy5bVDwA5jTuvTS+//LImTZqkgwcPGsbPnDmjJk2a6Pnnn9cbb7xh+j3TnxITE/XDDz/o448/1pEjR2weO3bsWPn7+2e4dgDIyc6ePavdu3en61hbDRvOnj2rRYsWpStPWFiYIiIi0nVsZmAfBAAAgLkiRYroySef1E8//ZQmlpycrCeffFKDBg3SO++8o/z585vmiYuL06xZs/Tuu+/q4sWLf4s1aNBAmzZtsrz2zPL2229r7969+vHHH02POXLkiD788EN9+OGH6c5boEABTZ8+XcOGDTOMm32eb4ufn99fTTOMrlvj4+M1aNAgff3113rllVfUs2dPBQcHpzv/pUuXtGLFCi1YsEDLli1zqClF9erVVb58eR09ejRNbMOGDSpVqpTatGmjunXrqlixYgoKCpKXl5dhroiICIWFhWW4FgAAAGQOV7pedTUtWrRQ7ty5devWrTSxefPmac2aNWrXrp1q1qypwoULK1euXPL09DTM1axZMwUEBDi7ZElSiRIlNGrUKNO9SEePHlWtWrX0/vvva8CAATYfgLlr1y698sor2rBhg+kxRYoU0ZgxYxyuGwAAADDTpUsXdenSxfSBPQsXLlTVqlU1duxYde7cWT4+PobHJScna9GiRXrllVf0xx9/mM7XsmVL9enTJ8O1jh071jA2ZMgQffPNN2rbtq2qVKmivHnzKjAw0PC7i8DAQD3yyCOGeV555RV99913hvc5bNy4UTVr1tRXX31l2njuT0eOHNF7772nOXPmpIlFRERo8+bNNl8PIOeioRyA+/Lw8NCMGTNUq1YtnT9/3vCYyZMna+bMmXrsscfUqFEjFStWTN7e3rp8+bK2b9+u+fPn69q1a6ZzeHt766efflLevHmd9WM4bNy4cdq2bZv27t1rGF+wYIEWL16sFi1aqGnTpipVqpT8/Px07do17dq1S/Pnz9e5c+dszvHdd9+pXLlyzigfAHIUd12bfvvtN5vxU6dOqVOnTk6bf8qUKerdu7fT8gOAK3PXtQkAkD2xLt3TvHlzjRgxwvTpusePH1fHjh1VtGjRv77ULViwoKR7m2kPHjyohQsXmp7DP5UoUUI//vij6YZSAIB7r00+Pj768ccfFRERoTt37hgek5iYqK+++koTJkxQrVq11LhxY5UrV0558+aVv7+/bty4oUuXLmnr1q367bffdP369fvO26dPH3Xt2tXqHwcAcoxVq1bp2WefdTjP6tWrtXr16nQd+9BDDykyMtLhOa3EPggAAABzI0aM0Ny5c5WcnJwmlpqaqi+++EITJkxQy5YtFRERoeLFiysoKEjXr1/XxYsXtWPHDi1fvtzw84Dg4GB9//33Klu2bGb8KE7h4eGhadOmKSEhQfPmzbMkZ0hIiBYuXKiSJUuaHuPtnbHbHypVqqSFCxfq0UcfNf2M5siRIxowYIAGDRqkGjVqqEGDBipVqpTy5Mmj0NBQJSYm6ubNm7p586YuXbqkffv2ac+ePWmaBTrqtddeU//+/Q1jsbGxmjt3rulNd/9r7dq1atq0qaW1AQAAwDlc6XrVlQQEBOjFF1/U6NGjDePR0dH6/vvv9f33398318mTJ1WqVCmLKzQ3YMAAbd261bS2+Ph4vfvuu/rggw/UunVr1a1bV0WKFFHu3Ll18eJF/fHHH1q0aJHpg8/+5Ofnpzlz5thslg4AAABY4b///a8OHjxoeo164cIFdevWTXnz5lXHjh1VuXJlFSlSRF5eXjp37pyOHj2qX375RZcuXbI5T6lSpTRr1qwMPaBGuvdAoAcffFDbtm0zjJ86dUrjx4+/b56SJUvq1KlThrEqVaroqaee0owZMwzjx48fV6tWrVShQgW1aNFC1atXV968eZWSkvLX9f7SpUtNz2X//v2VP39+GsoBboyGcgDSpUCBAlq+fLmaNm1qerNOXFyc5s2bZ/fGEE9PT33//fdq2LChFaU6TUBAgJYsWaImTZroxIkThsckJydr2bJlWrZsmd35R48ezY09AGAH1iYAQHbD2gQAyE5Yl+4ZOnSoLl++rC+//NL0mHPnzumbb77JUP6iRYtq+fLlKly4cEZLBAC34c5r0wMPPKBffvlFHTp0UGxsrOlxKSkp2rFjh3bs2OHQfB06dNCECRMcygEAcA/sgwAAADBXsWJFjRkzRoMGDTI9Jj4+XgsXLtTChQvTndfHx0dz585VmTJlrCgzS/n6+mrOnDkaOnSoRo0apZSUlAznKlOmjH799VdVq1ZNknT79m3D4/z9/TM8R8OGDbV27Vq1adNGV65cMT0uKSnJks9oMur555/XtGnTtHXr1iyZHwAAAFnDVa5XXc3QoUM1Z84cnTx5MqtLsdvkyZN169Yt/frrr6bHxMfHa/78+Zo/f77d+X19ffXzzz+rQYMGDlQJAAAApE9wcLBWrlyphx56SMeOHTM97vr16/rvf/+boTmKFSum1atXKywsLKNlSpK+/vprNWzYUPHx8Q7lseU///mPtmzZYvNc/P777/r999/tytu8eXN98cUX+uijjxwtEYAL88zqAgC4jmrVqmnt2rWWPk0jV65c+umnn9StWzfLcjpT0aJFFRkZqVq1almW09vbW+PGjdNbb71lWU4AcBesTQCA7Ia1CQCQnbAu3TNu3DiNGDFCnp7WfiVSu3Ztbdq0SZUqVbI0LwDkZO68NrVo0UIbNmxQlSpVnDaHl5eXhg4dqrlz58rX19dp8wAAchb2QQAAAJh75ZVXNHDgQMvy5cqVS3PmzFHLli0ty5nVPD099fHHH2vDhg2KiIiw+/UBAQF64403tHfv3r+ayUlSdHS04fHBwcEZLVWSVK9ePe3cuVNNmzZ1KI8zeXl5acGCBapTp05WlwIAAIBM5grXq64mODhYy5cvd8mm3n82JB8wYIDluQsUKKBVq1apTZs2lucGAAAAzBQpUkQbN25U48aNLc9dt25dbdmyxZJr/zp16mjOnDnKlSuXBZUZy5s3rxYuXKj8+fNblrNVq1b65Zdf5OPjY1lOAK6JhnIA7PLAAw8oKirKkpty6tWrpy1btqhLly4WVJZ5ihcvro0bN+rll192+CbUChUqaPXq1ZZuOAIAd8PaBADIblibAADZCevSPe+//76WLVumcuXKOZzLz89P7777rjZv3qwSJUpYUB0AuBd3Xptq166tHTt26PXXX7e84VvVqlW1adMmffjhh/L29rY0NwAg52MfBAAAgLlx48bpq6++cvi9fPXq1bVhwwZ16NDBosqyl4iICG3atEkbNmzQ888/b/OBAv7+/mrSpIk+++wznT59Wv/+97/T3JR148YNw9cWLFjQ4VqLFSumNWvWaMqUKSpatKjD+YzUq1dP48eP19NPP52h1xcoUECbNm3SZ599psKFC1tcHQAAALIzV7hedTXly5fXnj179M477yhPnjxZXY5dvL29NX78eM2fP9+y34cnnnhCe/bscUoTDwAAAOB+ChQooDVr1uiTTz5RQECAw/l8fX31/vvva+PGjZa+h2rXrp327dunHj16OK1BW6VKlbRz507Vr1/foTw+Pj569913tWjRIgUFBVlUHQBXRkM5AHYLCwvTDz/8oMjISLVu3VoeHh52vb5GjRqaOnWqtmzZ8renCbqSgIAAffnll9qxY4e6du1q9405ZcuW1X/+8x/t27dPTZo0cVKVAOA+WJsAANkNaxMAIDthXbqnRYsW2r9/v7788ktVrFjR7teHhoZq0KBBOnLkiEaOHGl5IyAAcCfuvDb5+/vr888/15kzZ/Txxx/bvLn6fry9vfX4449r1apV2rdvnx588EHrCgUAuB32QQAAAJjr37+/du3apaeeekpeXl52vbZixYqaMGGCduzYoZo1azqnwGykYcOG+uabb3Ty5Eldv35d27dv18qVK7Vs2TJt2LBBv//+u2JiYrRu3Tq9+eabyp8/f5ocSUlJOnz4sGH+IkWKWFKnh4eHevfurRMnTuj777/XQw89ZPff7f/y9/dXs2bN9Mknn+jw4cPatm2bBgwYoNDQ0Azn9PX11ZtvvqkzZ84oMjJSw4YNU4cOHVStWjXlz59ffn5+dn+uBgAAANfgCterriYoKEgfffSRLly4oKVLl+rtt9/WY489psqVKyssLEy+vr7Z+vq6Q4cOOnr0qMaNG6dKlSrZ/XpfX1917txZW7du1ezZs1WoUCEnVAkAAACkj7e3t95++22dOHFCb731luF3BfeTJ08eDRw4UMeOHdOIESOcsre/dOnSmjFjhi5evKiZM2dqwIABevjhh1W2bFmFhIRY8vDfYsWKaf369ZowYYLKlClj12t9fX3Vs2dP7dmzRyNHjnTofSOAnMUjNTU1NauLAODazpw5o8WLF2vDhg06cOCAzp49q9u3bys5OVlBQUEqWLCgKlWqpPDwcD322GOqUaNGVpdsuStXrmjJkiWKjIzUgQMHdPr0ad26dUuJiYkKCgpSWFiYKlWqpLp166pVq1YKDw93+KneAABzrE0AgOyGtQkAkJ2wLkmpqanauXOnli9fru3bt+vIkSO6ePGiYmJilJqaqsDAQBUsWFBlypRRnTp11KRJEz3yyCNOe7oYALg7d16bUlNTdejQIW3btk1bt27V/v37df36dUVHRys6OloJCQnKnTu3QkNDFRoaqmLFiunBBx9UeHi46tWrp5CQkKz+EQAAORT7IAAAAIydOXNGy5Yt09q1a7Vv3z5du3ZN165dk3SvQUGhQoVUoUIF1a1bVy1btlTdunWzdVOC7Gjnzp2qU6eOYWz//v2qWrWqU+a9evWqVq9erW3btv11DXz58mXduXNHSUlJypUrl4KDg5U7d24VLVpUlSpVUuXKlVWtWjWFh4fLz8/PKXUBAAAAEter+Lvdu3dr1apV2rp1q44ePaqzZ88qJiZGiYmJCgwMVJ48eVS6dGlVq1ZNjRo1UqtWrZQnT56sLhsAAAAwlJSUpHXr1ikyMlI7d+7U8ePHdenSJd25cyfN3v5atWrpoYce0iOPPJLjHhCfnJystWvXas2aNdq4caPOnj2ra9euKSYmRgEBAQoJCVGZMmVUpUoVNW3aVC1btlTevHmzumwA2RAN5QAAAAAAAAAAAAAAAAAAAAAAQJYbM2aM3njjjTTj/v7+unXrFg9/AQAAAAAAAAAAAAATPBYWAAAAAAAAAAAAAAAAAAAAAABkqdTUVE2cONEwVr9+fZrJAQAAAAAAAAAAAIANNJQDAAAAAAAAAAAAAAAAAAAAAABZauHChTp69KhhrGXLlplcDQAAAAAAAAAAAAC4Fo/U1NTUrC4CAAAAAAAAAAAAAAAAAAAAAAC4p6tXr6pGjRo6f/68YfzEiRMqXbp0JlcFAAAAAAAAAAAAAK7DM6sLAAAAAAAAAAAAAAAAAAAAAAAAriM6OtqyXHf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      "text/plain": [
       "<Figure size 6000x5000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax=plt.subplots(nrows=2, ncols=2, dpi=500, figsize=(12, 10))\n",
    "ax=ax.flat\n",
    "_,number_target_1 ,share_target_1=plot(df_target_period1,ax[0], 'Target 2003-2010')\n",
    "_,number_target_2,share_target_2=plot(df_target_period2,ax[0], 'Target 2011-2018')\n",
    "\n",
    "_,number_mention_1, share_mention_1=plot(df_mention_period1,ax[0], 'Mention 2003-2010')\n",
    "_,number_mention_2,share_mention_2=plot(df_mention_period2,ax[0], 'Mention 2011-2018')\n",
    "\n",
    "_,number_total_1,share_total_1=plot(df_total_period1,ax[0], 'Total 2003-2010')\n",
    "Max,number_total_2, share_total_2=plot(df_total_period2,ax[0], 'Total 2011-2018')\n",
    "\n",
    "\n",
    "\n",
    "ax[0].set(yscale='log', xscale='log', ylabel='Frequency', xlabel='#Number of publications')\n",
    "ax[0].axvspan(35*8, Max, alpha=0.3, color='k')\n",
    "ax[0].legend(ncol=3, fontsize=6, frameon=False, loc='upper right')\n",
    "\n",
    "\n",
    "\n",
    "category = (\"Target\", \"Mention\", \"Total\")\n",
    "numbers = {\n",
    "    '2003-2010': (number_target_1, number_mention_1, number_total_1),\n",
    "    '2011-2018': (number_target_2, number_mention_2, number_total_2),\n",
    "}\n",
    "\n",
    "x = np.arange(len(category))  # the label locations\n",
    "width = 0.2  # the width of the bars\n",
    "multiplier = 0.5\n",
    "\n",
    "\n",
    "for attribute, measurement in numbers.items():\n",
    "    offset = width * multiplier\n",
    "    rects = ax[1].bar(x + offset, measurement, width, label=attribute)\n",
    "    ax[1].bar_label(rects, padding=3)\n",
    "    multiplier += 1\n",
    "\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax[1].set_ylabel('#Number')\n",
    "ax[1].set_title('Category')\n",
    "ax[1].set_xticks(x + width, category)\n",
    "ax[1].legend(loc='upper left', ncols=3, frameon=False)\n",
    "ax[1].set_ylim(0, 1400)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "category = (\"Target\", \"Mention\", \"Total\")\n",
    "numbers = {\n",
    "    '2003-2010': (share_target_1, share_mention_1, share_total_1),\n",
    "    '2011-2018': (share_target_2, share_mention_2, share_total_2),\n",
    "}\n",
    "\n",
    "x = np.arange(len(category))  # the label locations\n",
    "width = 0.2  # the width of the bars\n",
    "multiplier = 0.5\n",
    "\n",
    "\n",
    "for attribute, measurement in numbers.items():\n",
    "    offset = width * multiplier\n",
    "    rects = ax[3].bar(x + offset, measurement, width, label=attribute)\n",
    "    ax[3].bar_label(rects, padding=3)\n",
    "    multiplier += 1\n",
    "\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax[3].set_ylabel('Share %')\n",
    "ax[3].set_title('Category')\n",
    "ax[3].set_xticks(x + width, category)\n",
    "ax[3].legend(loc='upper left', ncols=3, frameon=False)\n",
    "ax[3].set_ylim(0, 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "c8e8cad6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_dist(df):\n",
    "    return df[df['number_of_publications']>35*8].groupby(['latest_affiliation_country'])['dist'].sum().reset_index().sort_values(by='dist', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "838fb860",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latest_affiliation_country</th>\n",
       "      <th>dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>usa</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>deu</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>fra</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>gbr</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>nld</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>can</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chn</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>hkg</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>esp</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>fin</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ita</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>twn</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>pak</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>jpn</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>zaf</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>grc</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>irn</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>grd</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>prt</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>qat</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>swe</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>tur</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>egy</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>che</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bel</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   latest_affiliation_country  dist\n",
       "23                        usa    15\n",
       "4                         deu     6\n",
       "8                         fra     6\n",
       "9                         gbr     6\n",
       "16                        nld     5\n",
       "1                         can     5\n",
       "3                         chn     4\n",
       "12                        hkg     3\n",
       "6                         esp     3\n",
       "7                         fin     3\n",
       "14                        ita     2\n",
       "22                        twn     2\n",
       "17                        pak     2\n",
       "15                        jpn     2\n",
       "24                        zaf     2\n",
       "10                        grc     2\n",
       "13                        irn     1\n",
       "11                        grd     1\n",
       "18                        prt     1\n",
       "19                        qat     1\n",
       "20                        swe     1\n",
       "21                        tur     1\n",
       "5                         egy     1\n",
       "2                         che     1\n",
       "0                         bel     1"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_dist(df_target_period1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "111f4a3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "      <th></th>\n",
       "      <th>latest_affiliation_country</th>\n",
       "      <th>dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>usa</td>\n",
       "      <td>51</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ita</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>hkg</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>zaf</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>che</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>sau</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>bra</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>bel</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>twn</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>jpn</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>prt</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>swe</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>fin</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ind</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>grc</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>pak</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>rus</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>kor</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>lbn</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>mar</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>gab</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>nor</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>nzl</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>kwt</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>sgp</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>aut</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>tha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>bgr</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   latest_affiliation_country  dist\n",
       "35                        usa    51\n",
       "11                        fra    30\n",
       "8                         deu    21\n",
       "9                         esp    21\n",
       "24                        nld    19\n",
       "13                        gbr    19\n",
       "5                         can    14\n",
       "0                         aus    12\n",
       "17                        irn    12\n",
       "7                         chn    12\n",
       "18                        ita    11\n",
       "15                        hkg     7\n",
       "36                        zaf     6\n",
       "6                         che     6\n",
       "30                        sau     6\n",
       "4                         bra     5\n",
       "2                         bel     4\n",
       "34                        twn     4\n",
       "19                        jpn     4\n",
       "28                        prt     3\n",
       "32                        swe     3\n",
       "10                        fin     3\n",
       "16                        ind     3\n",
       "14                        grc     3\n",
       "27                        pak     2\n",
       "29                        rus     2\n",
       "20                        kor     2\n",
       "22                        lbn     1\n",
       "23                        mar     1\n",
       "12                        gab     1\n",
       "25                        nor     1\n",
       "26                        nzl     1\n",
       "21                        kwt     1\n",
       "31                        sgp     1\n",
       "1                         aut     1\n",
       "33                        tha     1\n",
       "3                         bgr     1"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_dist(df_target_period2)"
   ]
  }
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